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% By Philip Torr 2002 % copyright Microsoft Corp. function F_param_out = torr_c_menu(varargin) % C_MENU Application M-file for c_menu.fig % FIG = C_MENU launch c_menu GUI. % C_MENU('callback_nam

% By Philip Torr 2002 % copyright Microsoft Corp. %this is a script to test the self calibration stuff %torr_test_SFMsc.m.m %main() %profile on clear all; m3 = 256; method = 'mapsac'; method

% By Philip Torr 2002 % copyright Microsoft Corp. function cal_param_out = c_menu(varargin) % C_MENU Application M-file for c_menu.fig % FIG = C_MENU launch c_menu GUI. % C_MENU('callback_name'

% By Philip Torr 2002 % copyright Microsoft Corp. %torr_test_correct_sc.m %torr_test_correct_sc.m m3 = 256; method = 2; [true_F,x1,y1,x2,y2,nx1,ny1,nx2,ny2,true_C,true_R,true_t, true_E] =

% By Philip Torr 2002 % copyright Microsoft Corp. %this is a script to test the self calibration stuff %torr_test_calib_sc.m %main() %profile on clear all; m3 = 256; method = 'mapsac'; method

% codegen.m generates one of the 32 C/A codes function [ca_used]=codegen(svnum); g2s=[5;6;7;8;17;18;139;140;141;251;252;254;255;256;257;258;469;470;471;... 472;473;474;509;512;513;514;515;51

function [y,p_avg,p_std]=multinomrnd(p,m,n) %Performs random sampling from a binomial distribution % % [y]=multinomrnd(p,m,n) % where p=1-by-k vector of probabilities of occurrence % n=sample s

function [x]=sampgauss(m,C,N) % % x=SAMPGAUSS(m,C,N) % % samples N-times from an multi-dimensional gaussian distribution % with covariance matrix C and mean m. Dimensionality is implied % in the

function [x]=gaussrnd(m,C,N) % % x=GAUSSRND(m,C,N) % % samples N-times from an multi-dimensional gaussian distribution % with covariance matrix C and mean m. Dimensionality is implied % in the me

function [px] = gaussmd (x,mu,sigma,logoption) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % [px] = gaussmd (x,mu,sigma) % % computes m-D probability density from x values given %